Yuhang Li

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Computational Imaging · Machine Learning · Computer Vision

Ph.D. Candidate @ UCLA

Former Research Scientist Intern @ Meta Reality Labs

Los Angeles, CA

CV · Scholar · LinkedIn · GitHub

I am a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Los Angeles (UCLA), working in the Bio- and Nano-photonics Lab under the mentorship of Prof. Aydogan Ozcan. Before joining UCLA, I received my B.Eng. in Optical Science and Engineering from Zhejiang University in 2021.

My research lies at the intersection of machine learning, computational imaging, and optical systems. I develop learning-based imaging and perception methods that jointly optimize physical hardware and computational algorithms, spanning computer vision, image processing, optical-digital co-design, and hardware-in-the-loop optimization. My work includes machine-centric imaging, computational imaging, optical neural networks, generative models, and reinforcement-learning-based optimization of physical systems.

My work has been published in journals including Nature, Science, Light: Science & Applications, Advanced Photonics, Nature Communications, and Science Advances, and has been cited over 1,300 times (h-index: 18).

selected publications

  1. LSA
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    Model-free optical processors using in situ reinforcement learning with proximal policy optimization
    Yuhang Li, Shiqi Chen, Tianhao Gong, and 1 more author
    Light: Science & Applications, 2026
  2. Optical generative models
    Shiqi Chen, Yuhang Li, Yuntian Wang, and 2 more authors
    Nature, 2025
  3. Training of physical neural networks
    Ali Momeni, Babak Rahmani, Benjamin Scellier, and 25 more authors
    Nature, 2025
  4. Spectral kernel machines with electrically tunable photodetectors
    Dehui Zhang, Yuhang Li, Jingxuan Geng, and 11 more authors
    Science, 2025
  5. Light Adv. Manuf.
    Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network
    Yuhang Li, Yi Luo, Deniz Mengu, and 2 more authors
    Light: Advanced Manufacturing, 2023

View all publications →

news

Sep 15, 2026 Completed my Research Scientist Internship at Meta Reality Labs (Redmond, WA), where I worked on imaging and deep learning.
Jan 15, 2026 Our paper on model-free optical processors using in situ reinforcement learning was published in Light: Science & Applications! 🔦
Aug 27, 2025 Our work on optical generative models was published in Nature! ✨
Oct 15, 2024 I was selected as a finalist in the Emil Wolf Outstanding Student Paper Competition at Frontiers in Optics + Laser Science (FiO LS) 2024.
Mar 15, 2024 I advanced to doctoral candidacy at UCLA. 🎓